Title: Senior Data Engineer - Pentaho Duration: 6 Months - Long Term Location: Washington, DC 20005 Hybrid Onsite: 2/3 days onsite per week from Day1. Candidate should be comfortable to pick official laptop from client location (Washington, DC 20005) after the onboarding process once offered. Summary/Objective: The Senior Data Engineer will execute on implementing business intelligence solutions across all divisions of the organization . The individual in this role will guide the team in design and implementation of each solution and will implement improvements of technical standards, development processes, governance, and technologies. Essential Duties And Responsibilities: <ul> <li>Serve as a technical lead in the development of business intelligence solutions . </li> <li>Coordinate with scrum masters / project managers on optimizing scheduling, work allocations, and story assignments. </li> <li>Manage reporting environment including data sources, connections, security, subscriptions and metadata. </li> <li>Assist in initiative towards data access control and integrity across the enterprise. </li> <li>Create data models and schema for reliable and highly performant data marts and data warehouse. </li> <li>Develops complex ETL (extract, transform and load) SQL scripts to gather data from various databases and systems to make data available for enterprise analytics and reporting. </li> <li>Evaluate, test and implement new or upgraded software. </li> <li>Troubleshoot reported problems pertaining to reports and the reporting database environment, working closely with other IT members, especially DBAs, Systems Analysts and Systems Engineers, </li> <li>identifying the cause and designing or developing an approach for resolution. </li> <li>Assess impact of changes and updates to source production systems, planning and implementing resulting changes to reports. </li> <li>Identify areas for improvement within the EDS organization related to architecture, design, performance optimization, development process, workflows, governance, tools/technologies. </li> <li>Conduct end user training on data solutions. </li> </ul> Education, Experience And Skills: <ul> <li>Bachelor Degree and/or relevant technical training with no preferred certification. </li> <li>Over 8-10 years of experience in the field of Information Technology with proficiency in ETL design/development and Data Warehouse Implementation/development. </li> <li>Experienced in Design, Development and Implementation of large - scale projects in Financial, Shipping and Retail industries using Data Warehousing ETL tools (Pentaho). </li> <li>Knowledge about Software Development Lifecycle (SDLC), Agile, CI/CD deployment. </li> <li>Experience in Architecting and building Data Warehouse systems and Business Intelligence systems including ETL using Pentaho BI Suite (Pentaho Data Integration Designer / Kettle). </li> <li>Hands on experience on the whole ETL (Extract Transformation & Load) process. </li> <li>Experience in creating ETL transformations and jobs using Pentaho Kettle Spoon designer and Pentaho Data Integration Designer and scheduling. </li> <li>Used various steps in Pentaho transformations including Row Normalizer, Row Demoralizer, Database Lookup, Database Join, Calculator, Add Sequence, Add Constants and various types of </li> <li>inputs and outputs for various data sources including Tables, Access, Text File, Excel and CSV file. </li> <li>Integrating Kettle (ETL) with Hadoop and other various NoSQL data and loaded unstructured data into Hadoop File System (HDFS). </li> <li>Experience in performing Data Masking/Protection using Pentaho Data Integration (Kettle) Strong development experience in writing PL/SQL Stored Procedures, Functions, packages and </li></ul> debugging the code <ul> <li>Strong development experience working with Columnar DBs preferably Client Vertica. </li> <li>Strong expertise in Developing and Debugging MSSQL or PostgreSQL SQL scripts, functions, stored procedures, views, complex SQL queries, cursors, and triggers </li> <li>Expertise in Performance tuning, Query optimization and exception handling </li> </ul>

Job Description: In this contingent resource assignment, you may: Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Engineering. Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking. Provide expertise to client senior leadership on innovative Engineering business solutions. Strategically engage with client personnel. Required Qualifications: 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education. We are seeking a contractor for the role of a Principal Customer Due Diligence (CDD) Engineer within Financial Crimes Technology, a unit of Enterprise Functions Technology (EFT). The person in this position will work with the Product, Architecture, and engineering teams to drive the design and implementation of new and enhanced capabilities that ensure successful delivery against critical commitments. The individual work with analysts to understand requirements, produce architectural artifacts, detail designs and work with engineers to drive implementation. In addition to CDD, this individual will need to understand the Fin Crimes landscape to ensure the proposed solutions align with the overall strategic vision of the Fin Crime domain. Candidates should offer most of the following: Bachelor's or Master's degree in computer science, engineering, or a related field Subject matter expertise in Financial Crimes, Customer Due Diligence, Corporate Risk, and our Compliance. Substantial experience working with data and data technology, particularly Customer data. Demonstrated experience in Agile development, application design, software development, and testing Proven experience in software development, with a focus on Cloud applications Hands-on experience in Kafka, Microservices, APIs, Analytics, Batch and Realtime Data processing. Experience with one or more CI/CD and Automation tools: Jenkins, GitHub Actions, Gradle, Maven, MSBuild, NPM, SonarQube, Artifactory, Harness CD & GitOps, IBM uDeploy, Ansible Understanding one or more of the following tools and technologies: PowerBI, Tableau,SQL Server, Oracle, Mongo DB, SQL server. Working experience in designing, architecting applications for deployment into one or more cloud (GCP, Azure, PCF/Tanzu) environments Strong analytical skills with high attention to detail and accuracy Strong technical skills and acumen. Knowledge of modern architectural paradigms, including service-orientation and cloud enablement. Excellent leadership and communication skills, with the ability to collaborate effectively across teams and mentor junior engineers. Strong interpersonal skills, including the ability to function well in a large, matrixed organization. Comments for Suppliers (Use this area to provide any additional comments to all suppliers. For example, any specific skills to prioritize when looking for profiles.: PART OF PILOT PROGRAM Title: Engineer 5/Transformation # of Positions: 2 Line of Business: EFT Risk & Internal Audit *PILOT/VMO* Manager: Man Yen Chin Location: New York City, NY (150 E 42nd St) Iselin, NJ (max bill rate ***) Charlotte, NC (max bill rate ***) dditional Notes: Net new Contract - 24 months, possibility to convert (if opportunity presents) RTO schedule - 3 days in office MANDATORY Interview process: 2 step virtual interviews: 1 with virtual interview with supervisor 1 with senior technical team member Supplier Expectations: All resumes must be submitted in beeline or will not be reviewed No soliciting of resumes, nor communication should occur with the Reports to Manager while position is live EEO: "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."

Need data engineers with a software engineering background, not a DA or a BA that moved into data engineering. Need to be able to use all of those skills from software engineering as well as data analysis and data engineering to be able to work on AI tools. SKILLS - Python (9-10/10), SQL, and AWS BACKGROUND REQUIREMENTS - doesn't need to be previous cap one but it wouldn't hurt, software engineering background (true, heads down, coding), data analysis/data engineering experience after the software engineering experience.

Our Opportunity: CRM Data Automation is a department whose core accountability is to support the Corporate Risk Management (CRM) organization in the efficient use of data in reporting, analytics, and modeling. In support of this, our role provides administration and oversight of data warehouse resources for the organization and provides data engineering resources as developers of data engineering processes and as technical lead for other teams who practice data engineering. We are looking for a Data Engineer to fill a role as an individual contributor. The role will be responsible for some of the key activities that are critical to the development, maintenance, and documentation of an integrated data infrastructure for Corporate Risk Management. Activities will include development and documentation of ETL/ELT processes. The ability to learn and understand complex business processes as part of the requirement gathering process is also required. This role reports to the Director of Software Development and Engineering on the CRM Data Automation Team. What you'll do: Work will include development of console applications to provide ETL and reporting capabilities. This development work should be expected to integrate with data sources and systems both internal and external to client. Written and verbal communication skills are a must. Listening and comprehension skills will be needed as part of the project onboarding and requirements gathering processes. The ideal candidate will have experience operating both independently and as part of team working a software project, as well as experience prioritizing work. Additional Job Details: What you have: Bachelor's degree or equivalent work experience 3-5 years' demonstrable hands-on experience in a development role Design, development, testing, implementation, and documentation of business solutions Database development experience Data structure/architecture's role in helping to enforce data quality ETL and Reporting automation experience Code driven experience, not solely using automation/RPA tools o Integration with external data sources and APIs Business Analysis experience developing complex SQL queries for small to large sets of data and leading query optimization efforts Expertise in GCP, SQL Server, Oracle DB and related technologies C#, Python, R and related language experience A strong understanding of OOP principles Experience writing testable and configurable code for use in multiple environments (dev, qa, preprod, prod) Experience establishing productive relationships with internal business partners and information technology partners Strong communication and relationship skills, including experience working with all levels of management Knowledge and understanding of the brokerage/investment advisory industry and the regulatory requirements related to the business Time management, organization, and prioritization skills The ability to work under deadlines EEO: "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."

Position Summary: Title: Senior Data Engineer - Pentaho Duration: 6 Months - Long Term Location: Washington, DC 20005 Hybrid Onsite: 2/3 days per week from Day1 Candidate should be comfortable with picking up official laptop from Client place during the onboarding process once offered. Summary/Objective: The Senior Data Engineer will execute on implementing business intelligence solutions across all divisions of the organization . The individual in this role will guide the team in the design and implementation of each solution and will implement improvements of technical standards, development processes, governance, and technologies. Essential Duties And Responsibilities: <ul> <li>Serve as a technical lead in the development of business intelligence solutions. </li> <li>Coordinate with scrum masters / project managers on optimizing scheduling, work allocations, and story assignments. </li> <li>Manage reporting environment including data sources, connections, security, subscriptions and metadata. </li> <li>Assist in initiative towards data access control and integrity across the enterprise. </li> <li>Create data models and schema for reliable and highly performant data marts and data warehouse. </li> <li>Develops complex ETL (extract, transform and load) SQL scripts to gather data from various databases and systems to make data available for enterprise analytics and reporting. </li> <li>Evaluate, test and implement new or upgraded software. </li> <li>Troubleshoot reported problems pertaining to reports and the reporting database environment, working closely with other IT members, especially DBAs, Systems Analysts and Systems Engineers, identifying the cause and designing or developing an approach for resolution. </li> <li>Assess impact of changes and updates to source production systems, planning and implementing resulting changes to reports. </li> <li>Identify areas for improvement within the EDS organization related to architecture, design, performance optimization, development process, workflows, governance, tools/technologies. </li> <li>Conduct end user training on data solutions. </li> </ul> Core Competencies: Forward Thinking: The ability to anticipate the implications and consequences of situations and take appropriate action to be prepared for possible contingencies. Thinks Critically: The ability to approach ones work analytically by identifying issues/questions, gathering and evaluating data, and creating evidence-based recommendations or solutions. Embrace Innovation & Change: The ability to respond positively to change and demonstrate flexibility, and openness to new ways of thinking and doing things. Communicate Openly & Effectively: The ability to effectively communicate in multiple modes and in a way that fosters understanding and dialogue, as well as engages with others in a way that demonstrates emotional intelligence. Performance Focused: The ability to take ownership for ones own or ones employees performance, by setting clear goals and expectations, tracking progress against the goals, providing feedback, and addressing performance problems and issues promptly Apply Customer Lens: The ability to provide the best service to customers (internal and external) with the goal of exceeding their expectations while maintaining integrity. Develop Self & Others: The ability to identify, learn, and apply new skills or habits as needed to perform successfully on the job. Foster Collaboration: The ability to look beyond immediate teams, broaden peer networks, and finding ways to partner with internal and external stakeholders to achieve success. Education, Experience And Skills: <ul> <li>Bachelor Degree and/or relevant technical training with no preferred certification. </li> <li>Over 8-10 years of experience in the field of Information Technology with proficiency in ETL design/development and Data Warehouse implementation/development </li> <li>Experienced in Design, Development and Implementation of large - scale projects in Financial, Shipping and Retail industries using Data Warehousing ETL tools (Pentaho) </li> <li>Knowledge about Software Development Lifecycle (SDLC), Agile, CI/CD deployment </li> <li>Experience in Architecting and building Data Warehouse systems and Business Intelligence systems including ETL using Pentaho BI Suite (Pentaho Data Integration Designer / Kettle) </li> <li>Hands on experience on the whole ETL (Extract Transformation & Load) process </li> <li>Experience in creating ETL transformations and jobs using Pentaho Kettle Spoon designer and Pentaho Data Integration Designer and scheduling </li> <li>Used various steps in Pentaho transformations including Row Normalizer, Row Demoralizer, Database Lookup, Database Join, Calculator, Add Sequence, Add Constants and various types of inputs and outputs for various data sources including Tables, Access, Text File, Excel and CSV file </li> <li>Integrating Kettle (ETL) with Hadoop and other various NoSQL data and loaded unstructured data into Hadoop File System (HDFS) </li> <li>Experience in performing Data Masking/Protection using Pentaho Data Integration (Kettle) </li></ul><ul> <li>Strong development experience in writing PL/SQL Stored Procedures, Functions, packages and debugging the code </li> <li>Strong development experience working with Columnar DBs preferably Client Vertica </li> <li>Strong expertise in Developing and Debugging MSSQL or PostgreSQL SQL scripts, functions, stored </li> <li>procedures, views, complex SQL queries, cursors, and triggers </li> <li>Expertise in Performance tuning, Query optimization and exception handling </li> </ul>

Job Description: In this contingent resource assignment, you may: Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Engineering. Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking. Provide expertise to client senior leadership on innovative Engineering business solutions. Strategically engage with client personnel. Required Qualifications: 7 years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education. We are seeking a contractor for the role of a Principal Customer Due Diligence (CDD) Engineer within Financial Crimes Technology, a unit of Enterprise Functions Technology (EFT). The person in this position will work with the Product, Architecture, and engineering teams to drive the design and implementation of new and enhanced capabilities that ensure successful delivery against critical commitments. The individual work with analysts to understand requirements, produce architectural artifacts, detail designs and work with engineers to drive implementation. In addition to CDD, this individual will need to understand the Fin Crimes landscape to ensure the proposed solutions align with the overall strategic vision of the Fin Crime domain. Candidates should offer most of the following: Bachelor's or Master's degree in computer science, engineering, or a related field Subject matter expertise in Financial Crimes, Customer Due Diligence, Corporate Risk, and our Compliance. Substantial experience working with data and data technology, particularly Customer data. Demonstrated experience in Agile development, application design, software development, and testing Proven experience in software development, with a focus on Cloud applications Hands-on experience in Kafka, Microservices, APIs, Analytics, Batch and Realtime Data processing. Experience with one or more CI/CD and Automation tools: Jenkins, GitHub Actions, Gradle, Maven, MSBuild, NPM, SonarQube, Artifactory, Harness CD & GitOps, IBM uDeploy, Ansible Understanding one or more of the following tools and technologies: PowerBI, Tableau,SQL Server, Oracle, Mongo DB, SQL server. Working experience in designing, architecting applications for deployment into one or more cloud (GCP, Azure, PCF/Tanzu) environments Strong analytical skills with high attention to detail and accuracy Strong technical skills and acumen. Knowledge of modern architectural paradigms, including service-orientation and cloud enablement. Excellent leadership and communication skills, with the ability to collaborate effectively across teams and mentor junior engineers. Strong interpersonal skills, including the ability to function well in a large, matrixed organization. Comments for Suppliers (Use this area to provide any additional comments to all suppliers. For example, any specific skills to prioritize when looking for profiles.: PART OF PILOT PROGRAM Title: Engineer 5/Transformation of Positions: 2 Line of Business: EFT Risk & Internal Audit PILOT/VMO Manager: Man Yen Chin Location: New York City, NY (150 E 42nd St) Iselin, NJ (max bill rate ) Charlotte, NC (max bill rate ) dditional Notes: Net new Contract - 24 months, possibility to convert (if opportunity presents) RTO schedule - 3 days in office MANDATORY Interview process: 2 step virtual interviews: 1 with virtual interview with supervisor 1 with senior technical team member Supplier Expectations: All resumes must be submitted in beeline or will not be reviewed No soliciting of resumes, nor communication should occur with the Reports to Manager while position is live EEO: "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."

Job Title: Data Engineer/Big Data DeveloperLocation: Bengaluru, KarnatakaSalary budget : 20 L/PADuration: Full Time with Mindlance Description: Looking for Data Engineer with 5+ years of work experience on building and maintaining data pipelines. Candidate should have relevant experience working on Databricks, AWS/Azure, data storage technologies such as databases and distributed file systems and be familiar with Spark framework. Retail experience will be an added advantage. Responsibilities:<ul><li>Design, develop, enhance and maintain scalable ETL pipelines to process large volumes of data from various sources</li><li>Implement and manage data integration solutions using tools like Databricks, Snowflake, and other relevant technologies</li><li>Develop and optimize data models and schemas to support analytics and reporting needs</li><li>Write efficient and maintainable code in Python for data processing and transformations</li><li>Utilize Apache Spark for distributed data processing and large-scale data analytics</li><li>Work on converting business requirements into technical solutions</li><li>Ensuring data quality and integrity through unit testing</li><li>Collaborating with cross-functional teams to integrate data pipelines with other systems</li><li>Technical Requirements:</li><li>Proficiency in Databricks for data integration and processing</li><li>Experience with ETL tools and processes</li><li>Proficiency Python programming with Apache Spark, with a focus on data processing and automation</li><li>Strong SQL skills and experience with relational databases</li><li>Familiarity with data warehousing concepts and best practices</li><li>Exposure to cloud platforms like AWS, Azure</li><li>Hands-on problem-solving skills and the ability to troubleshoot complex data issues</li><li>Hands-on experience with Snowflake</li></ul> Qualifications:<ul><li>Bachelor’s or Master’s degree in Computer/Information Science Engineering from a reputed institution</li></ul> Skill: <ul><li>SQL - Ability to write medium complex SQLs - Data Modelling</li><li>PySpark (or Spark with Scala) – Good hands-on - Airflow</li><li>Design aspects – ETL/Data Engg Pipelines - Kafka</li><li>Cloud understanding (any cloud Tech is fine) - EMR/Databricks</li><li>Ability to debug issues and resolve the challenges (as an Individual contributor) - Snowflake</li><li>CI/CD - basics to intermediate level - Hive</li></ul> About Mindlance:Founded in 1999, Mindlance has been ranked as one of the fastest growing US Staffing firms by SIA for 9 consecutive years. We provide workforce solutions to Global 1000 companies in Technology, Engineering, Finance, Clinical Research, Scientific, Digital/Creative/Marketing space. Mindful of the opportunity gap, we provide balanced solutions for both employers and job seekers—elevating the standards of recruitment practice to a whole new level. Our aim is to make a difference in the lives of job seekers by providing them with opportunities that broaden career horizons and expand skill sets. We take pride in being a strong driver of mindfulness and balance at workplace. “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

The job profile for this position is Business Analytics Advisor.
The Client Enterprise Operations Analytics organization offers solutions that provide actionable insights to internal and external business partners and customers that help improve customer experience, reduce cost, measure and forecast business performance, and improve process and procedures. The Business Analytics Advisor will be responsible for creating a detailed business analysis, outlining problems, opportunities and solutions for their respective client group.
Responsibilities Include:
Using SQL to write queries to answer questions and perform ETL tasks to create datasets.
Utilizing Python libraries (scikit-learn, pandas, numpy) to conduct statistical analyses.
Communicating findings and coordinating with peers, leaders and business partners.
Using Business Intelligence tools to create self-service reporting for business partners.
Leading analytics-based projects and experiments.
Conducting self-driven data exploration and documentation of tables, schemas, and tests.
Using SQL to query data structures to help inform our business partners.
Examining and interpreting the data to Client the weaknesses and identify the root causes
Conducting hypothesis testing on business partners assumptions.
Completing ad hoc requests for business partners data needs.
Identifying and implementing automation to consolidate similar or repeated ad hoc requests.
Understanding business needs to better inform reporting and analytics duties.
Giving guidance on any recurring problems or issues
Completing proposals in cooperation and conjunction with experts on the subject (SME).
Refactoring reporting to enhance performance, provide deeper insight, and answer questions.
Updating project documents as well as status reports.

Qualifications:
8+ years of relevant analytics experience
Experience as a Business Analytics Advisor is a plus.
Expertise in health insurance contact center operations.
Proficiency in Agile practices (Jira).
Proficiency with Structured Query Language.
Experience with a scripting language (Python, Powershell, VBA).
Experience with Big Data Platforms (Databricks, Hadoop, AWS).
Experience with Business Intelligence Software (Tableau, PowerBI, Looker, etc.)
Excellent verbal, written and interpersonal communication skills a must.
Problem-solving, consulting skills, teamwork, leadership, and creativity skills a must.
nalytical mind with outstanding ability to collect and analyze data.

EEO:

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."

Title: AWS Data EngineerDuration: 6+ MonthsLocation: McLean, VA, Richmond, VA, Plano, TX or NYC (Hybrid)Interview: Video About the Role:We are seeking a highly skilled AWS Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and maintaining scalable data solutions using AWS cloud services. Key Responsibilities<ul><li>Data Pipeline Development: Design, develop, and optimize scalable ETL pipelines using AWS Glue and other AWS tools.</li><li>Data Modeling: Implement effective data models and architectures for structured and unstructured data using SQL/NoSQL databases.</li><li>Data Processing: Leverage Apache Spark to process and transform large-scale datasets efficiently.</li><li>AWS Integration: Build, deploy, and maintain serverless data solutions using AWS Lambda and other AWS services.</li><li>Data Governance: Implement best practices for data quality, monitoring, and security.</li><li>Collaboration: Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver solutions.</li><li>Performance Optimization: Ensure high performance and reliability of data pipelines and workflows.</li></ul> Required Skills:<ul><li>Programming: Proficiency in Python for data engineering tasks.</li><li>Databases: Strong knowledge of SQL/NoSQL technologies such as MySQL, PostgreSQL, DynamoDB, or MongoDB.</li><li>Big Data Frameworks: Experience with Apache Spark for data processing.</li><li>AWS Expertise: Hands-on experience with AWS Glue, Lambda, S3, and other related AWS services.</li></ul> Experience:<ul><li>5+ years of experience in data engineering or a related field.</li><li>Proven ability to handle and process large volumes of data efficiently.</li><li>Experience in optimizing data workflows for performance and cost-efficiency.</li></ul> “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

Important information:
The actual job title is: Data Engineer
Must be a U.S. Citizen.
The position is unclassified but the submitted candidate must be able to obtain a clearance.
The position is remote
1 resumes per supplier.

The submitted candidate must have 6 years of work experience in each of the following skills:
1) Full stack development
2) K8 (Kubernetes)
3) Python
4) JAVA
5) Tactical Message Translation
6) Pub/Sub (AMQ and Kafka)
7) Model Based Development
8) Agile (JIRA)
9) CI/CD deployment
10) HELM Charts
11) Container Image Creation and Sustainment
12) Familiarity with Database technology

Job description:
Ability to design, write and test software related to messaging systems with a background in message translations. Experience in Agile CI/CD software development deployments. Experience in containerizing packages and deploying to Kubernetes with HELM charts. The software developer will be responsible for development from architecture system design into working software products. C++, and/or Java as well as Python experience required.

EEO:

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."

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